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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Leon Amadeus Varga",
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  "author": "Leon Amadeus Varga",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "citation": [],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2209.03136",
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  "defined_in": "https://doi.org/10.48550/arXiv.2209.03136",
            
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  "doi": "10.57702/ynfsniuh",
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  "doi": "10.57702/ynfsniuh",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "doi_status": false,
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  "doi_status": true,
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Martin Messmer",
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      "extra_author": "Martin Messmer",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Nuri Benbarka",
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      "extra_author": "Nuri Benbarka",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Andreas Zell",
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      "extra_author": "Andreas Zell",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    }
            
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  ],
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  ],
            
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  "groups": [
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  "groups": [
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Hyperspectral Imaging",
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      "display_name": "Hyperspectral Imaging",
            
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      "id": "d9a2bb90-a4d2-4ed7-8cb1-ca1151fcc3ad",
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      "id": "d9a2bb90-a4d2-4ed7-8cb1-ca1151fcc3ad",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "hyperspectral-imaging",
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      "name": "hyperspectral-imaging",
            
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      "title": "Hyperspectral Imaging"
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      "title": "Hyperspectral Imaging"
            
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    }
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    }
            
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  ],
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  ],
            
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  "id": "c8317c77-b981-4343-9b05-802daecab3a8",
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  "isopen": false,
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  "isopen": false,
            
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  "landing_page": "https://github.com/cogsys-tuebingen/hyve_conv",
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  "landing_page": "https://github.com/cogsys-tuebingen/hyve_conv",
            
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  "license_title": null,
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  "license_title": null,
            
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  "link_orkg": "",
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  "link_orkg": "",
            
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  "metadata_created": "2024-12-16T18:30:41.201732",
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  "metadata_created": "2024-12-16T18:30:41.201732",
            
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  "metadata_modified": "2024-12-16T18:30:41.201737",
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  "metadata_modified": "2024-12-16T18:30:41.548530",
            
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  "name": 
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  "name": 
            
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yperspectral-visual-embedding-convolutions-for-hyperspectral-imaging",
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yperspectral-visual-embedding-convolutions-for-hyperspectral-imaging",
            
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  "notes": "Hyperspectral recordings approximate the spectrum for each 
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  "notes": "Hyperspectral recordings approximate the spectrum for each 
            
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pixel of the image. Therefore, the number of channels is increased (to 
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pixel of the image. Therefore, the number of channels is increased (to 
            
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around 200), and the range of recorded wavelengths is extended.",
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around 200), and the range of recorded wavelengths is extended.",
            
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2024-11-25T12:11:38.292601",
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    "created": "2024-11-25T12:11:38.292601",
            
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    "image_url": "",
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    "state": "active",
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      "created": "2024-12-16T18:25:35",
            
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      ],
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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      "id": "9c422bdd-db04-4a20-81b5-c279b52fb748",
            
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      "last_modified": "2024-12-16T18:30:41.541216",
            
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      "metadata_modified": "2024-12-16T18:30:41.551409",
            
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      "mimetype": "application/json",
            
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      "name": "Original Metadata",
            
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  "state": "active",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "2D Convolutions",
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      "display_name": "2D Convolutions",
            
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      "id": "ebcb4aae-1795-458f-974b-4c7b9456b19f",
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      "id": "ebcb4aae-1795-458f-974b-4c7b9456b19f",
            
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      "name": "2D Convolutions",
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      "name": "2D Convolutions",
            
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      "state": "active",
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    },
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    {
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      "display_name": "Deep Learning",
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      "display_name": "Deep Learning",
            
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      "id": "3feb7b21-e049-4dca-9372-0d438c483f6a",
            
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      "name": "Deep Learning",
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      "name": "Deep Learning",
            
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    },
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    {
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    {
            
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      "display_name": "Hyperspectral Imaging",
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      "display_name": "Hyperspectral Imaging",
            
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      "id": "82a7b7a7-3124-477e-9c55-893bcf992763",
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      "id": "82a7b7a7-3124-477e-9c55-893bcf992763",
            
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      "name": "Hyperspectral Imaging",
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      "name": "Hyperspectral Imaging",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Hyperspectral Visual Embedding Convolutions for 
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  "title": "Hyperspectral Visual Embedding Convolutions for 
            
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Hyperspectral Imaging",
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Hyperspectral Imaging",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}